British Airways Data Science Internship

This repository contains the data science projects and analyses completed during the British Airways internship, focusing on leveraging data to enhance operational efficiency and customer experience.

Projects

• Project 1: Analyzing Flight Data for Performance Metrics
• Project 2: Customer Segmentation and Predictive Analytics
• Project 3: Sentiment Analysis of Customer Feedback
• Project 4: Optimization of Flight Scheduling and Resource Allocation

Techniques Used

• Data Analysis: Extracting insights from large datasets using statistical methods.
• Machine Learning: Implementing predictive models and clustering algorithms.
• Natural Language Processing (NLP): Analyzing customer feedback sentiment and themes.
• Data Visualization: Communicating findings effectively through charts and graphs.

Tools and Technologies

• Programming Languages: Python, R
• Libraries: Pandas, NumPy, Scikit-learn, NLTK, Matplotlib, Seaborn
• Data Handling: SQL, API Integration
• Visualization: Tableau, Power BI

Getting Started

To explore the British Airways Data Science Internship repository:

1. Clone the repository:
   git clone https://github.com/CH-RAFAY/British-Airways-Internship.git
2. Navigate to the project directory:
   cd British-Airways-Internship
3. Explore individual project folders to view code and analysis details.

License

© 2024 AbdulRafay Chaudhry. All rights reserved.